基于改进D-S证据理论的车辆导航地图匹配

对传统D-S证据理论算法进行了改进,解决了证据的可信度和决策规则问题,使新的组合推理规则能够有效地处理证据中的冲突信息.并结合当前城市道路网日益复杂的实际特点,采用Pignistic概率的决策理论和基于权值D-S证据推理的地图匹配新算法,建立车辆位置信息和方向信息判决规则,有效地利用现有信息扩大各匹配道路之间的信度差异,提高了算法的鲁棒性.通过仿真和试验表明,该算法可以较好地解决城市复杂路网地图匹配问题.

Vehicle Navigation Map Matching Based on Modified D-S Evidence Rule

In this paper, the traditional D-S evidence algorithm is modified to solve the problems of evidence credibility and decision-making rule, enabling the new combination inference rule to more effectively deal with the conflicting information. In view of the more and more complicated urban road net, the Pignistic probability decision rule and the D-S evidence reasoning-based map matching .algorithm are adopted to set up the judgment rule for the vehicle position and direction information. By effectively utilizing the existing information to expand the credibility differences of matched roads, the robustness of the algorithm is enhanced. The results of simulation and test show that the modified algorithm can better solve the map matching problem of the complicated urban road net.